A scoping review of palliative care for persons with severe persistent mental illness
Bibliographic record
Abstract
OBJECTIVE: People with severe persistent mental illness (SPMI) experience a greater burden and severity of chronic disease, late diagnosis, and premature death compared with the general population. Those with SPMI also receive fewer medical treatments, poor quality of care, and are less likely to receive palliative care. A systematic scoping review was undertaken to determine the extent, range, and nature of research activity about people with SPMI requiring palliative care, and to identify gaps and opportunities for future research. METHOD: A systematic scoping review was undertaken in September 2017 and updated in May 2018 to map literature on this topic, determine the extent and range of what has been published, and report the findings. This five-stage framework was conducted by (1) identifying the research question; (2) identifying relevant studies; (3) determining study selection; (4) charting the data; and 5) collating, summarizing, and reporting the results. A narrative approach to analysis was used to synthesize and interpret findings. A search of multidisciplinary healthcare databases resulted in 46 included articles. RESULT: Four major themes were identified from the included studies: complexity of care; limited access to care (both through systems and healthcare providers); competence and autonomy; and the potential for relationships between mental health and palliative care. SIGNIFICANCE OF RESULTS: This review reveals a highly vulnerable population with complex needs that are not reliably being met by the healthcare system and providers. Research in this area must continue to develop using rigorous qualitative and quantitative study designs, and interventions should be developed and tested based on existing knowledge to inform care. The voices of people with SPMI in need of palliative care must be represented in future studies to address gaps. To expand a body of literature addressing mainly individuals, system perspectives and sociocultural analysis can bring much to contextualizing the experience of living with SPMI in the palliative phase of care. Adoption of a palliative approach, which promotes the principles of palliative care across nonspecialized care settings provided by nonspecialist palliative providers, has the potential to increase access to high-quality palliative treatment for people with SPMI.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.023 | 0.101 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.006 |
| Bibliometrics | 0.018 | 0.018 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.004 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".